{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "4c5092b2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T06:57:13.751929Z",
     "start_time": "2024-06-30T06:57:13.733575Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92eda7e8",
   "metadata": {},
   "source": [
    "# 去年一年水泥和矿粉各自的销售情况如何"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf031532",
   "metadata": {},
   "source": [
    "## 客户下单表数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b25ac607",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T02:42:03.178880Z",
     "start_time": "2024-06-30T02:42:03.109756Z"
    }
   },
   "outputs": [],
   "source": [
    "khxd = pd.read_csv('D:/24暑假实训/zuoye/thirteen/data/ERP_KHXD.csv', encoding='gb18030')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2af587a6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T02:42:03.538791Z",
     "start_time": "2024-06-30T02:42:03.504604Z"
    }
   },
   "outputs": [],
   "source": [
    "khxd['date'] = pd.to_datetime(khxd['dzsj'])  \n",
    "khxd['year'] = khxd['date'].dt.year  \n",
    "khxd['month'] = khxd['date'].dt.month  \n",
    "khxd=khxd[['hplx','fhdw','year']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4a9e37be",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T02:42:03.944078Z",
     "start_time": "2024-06-30T02:42:03.916834Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hplx</th>\n",
       "      <th>fhdw</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7703</th>\n",
       "      <td>0</td>\n",
       "      <td>50.00</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7710</th>\n",
       "      <td>0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7711</th>\n",
       "      <td>0</td>\n",
       "      <td>50.00</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7712</th>\n",
       "      <td>1</td>\n",
       "      <td>140.00</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7713</th>\n",
       "      <td>1</td>\n",
       "      <td>35.00</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23203</th>\n",
       "      <td>1</td>\n",
       "      <td>40.72</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23204</th>\n",
       "      <td>1</td>\n",
       "      <td>41.28</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23489</th>\n",
       "      <td>1</td>\n",
       "      <td>34.02</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23490</th>\n",
       "      <td>1</td>\n",
       "      <td>38.25</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23491</th>\n",
       "      <td>1</td>\n",
       "      <td>34.00</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14680 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       hplx    fhdw  year\n",
       "7703      0   50.00  2023\n",
       "7710      0  100.00  2023\n",
       "7711      0   50.00  2023\n",
       "7712      1  140.00  2023\n",
       "7713      1   35.00  2023\n",
       "...     ...     ...   ...\n",
       "23203     1   40.72  2023\n",
       "23204     1   41.28  2023\n",
       "23489     1   34.02  2023\n",
       "23490     1   38.25  2023\n",
       "23491     1   34.00  2023\n",
       "\n",
       "[14680 rows x 3 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 筛选2023年的数据  \n",
    "khxd_2023 = khxd[khxd['year'] == 2023]  \n",
    "khxd_2023"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0289157d",
   "metadata": {},
   "source": [
    "## 统计水泥去年销售量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a552ed7a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T00:37:41.471786Z",
     "start_time": "2024-06-30T00:37:41.458742Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3656"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 指定要筛选的列名和固定数值  \n",
    "column_name = 'hplx'  \n",
    "fixed_value = 0 \n",
    "\n",
    "# 使用布尔索引筛选数据  \n",
    "shuini_khxd = khxd_2023[khxd_2023[column_name] == fixed_value]  \n",
    "\n",
    "# 计算筛选结果的行数  \n",
    "total_count = shuini_khxd.shape[0]  \n",
    "total_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c25a08bc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T00:37:41.487784Z",
     "start_time": "2024-06-30T00:37:41.473756Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "354484.74"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 指定要计算总和的列名  \n",
    "column_name = 'fhdw'  \n",
    "  \n",
    "# 计算该列的总和  \n",
    "total_sum = shuini_khxd[column_name].sum()  \n",
    "total_sum"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff163766",
   "metadata": {},
   "source": [
    "## 统计矿粉去年销售量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "97aa159a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T00:37:41.503223Z",
     "start_time": "2024-06-30T00:37:41.489195Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11024"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 指定要筛选的列名和固定数值  \n",
    "column_name = 'hplx'  \n",
    "fixed_value = 1 \n",
    "\n",
    "# 使用布尔索引筛选数据  \n",
    "kuangfen_khxd = khxd_2023[khxd_2023[column_name] == fixed_value]  \n",
    "\n",
    "# 计算筛选结果的行数  \n",
    "total_count = kuangfen_khxd.shape[0]  \n",
    "total_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ea428cd2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T00:37:41.518993Z",
     "start_time": "2024-06-30T00:37:41.504803Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "830970.2500000001"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 指定要计算总和的列名  \n",
    "column_name = 'fhdw'  \n",
    "  \n",
    "# 计算该列的总和  \n",
    "total_sum = kuangfen_khxd[column_name].sum()  \n",
    "total_sum"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48db293a",
   "metadata": {},
   "source": [
    "# 去年客户需求量分析，哪些客户最重要"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "324472fc",
   "metadata": {},
   "source": [
    "## 对客户需求量分组求和并排序"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "01ba2f6a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:15:19.589510Z",
     "start_time": "2024-06-30T07:15:19.537271Z"
    }
   },
   "outputs": [],
   "source": [
    "khxd = pd.read_csv('D:/24暑假实训/zuoye/thirteen/data/ERP_KHXD.csv', encoding='gb18030')\n",
    "khxx = pd.read_csv('D:/24暑假实训/zuoye/thirteen/data/ERP_KHXX.csv', encoding='gb18030')\n",
    "khxd = pd.merge(khxd, khxx, left_on='khxx_id', right_on='id', how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "518b142a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:15:19.933813Z",
     "start_time": "2024-06-30T07:15:19.894141Z"
    }
   },
   "outputs": [],
   "source": [
    "khxd['date'] = pd.to_datetime(khxd['dzsj'])  \n",
    "khxd['year'] = khxd['date'].dt.year  \n",
    "khxd['month'] = khxd['date'].dt.month  \n",
    "# 筛选2023年的数据  \n",
    "khxd_2023 = khxd[khxd['year'] == 2023]  \n",
    "khxd_2023=khxd_2023[['khmc','fhdw']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "dc62b576",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:15:20.276394Z",
     "start_time": "2024-06-30T07:15:20.255021Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>khmc</th>\n",
       "      <th>fhdw</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>志扬云睿</td>\n",
       "      <td>199655.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>群祥鑫义</td>\n",
       "      <td>130410.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>荆楚宏盛（换货）</td>\n",
       "      <td>82139.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>白兆山配送</td>\n",
       "      <td>76833.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>志诚合磊</td>\n",
       "      <td>57597.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>诚禾达</td>\n",
       "      <td>30.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>运输部水泥自用</td>\n",
       "      <td>4.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>武汉宏康润达（换货）</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>盈通方达（换货）</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>运输部</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>456 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           khmc       fhdw\n",
       "130        志扬云睿  199655.93\n",
       "366        群祥鑫义  130410.47\n",
       "378    荆楚宏盛（换货）   82139.00\n",
       "339       白兆山配送   76833.00\n",
       "132        志诚合磊   57597.00\n",
       "..          ...        ...\n",
       "383         诚禾达      30.00\n",
       "390     运输部水泥自用       4.00\n",
       "187  武汉宏康润达（换货）       3.00\n",
       "344    盈通方达（换货）       2.00\n",
       "389         运输部       1.00\n",
       "\n",
       "[456 rows x 2 columns]"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 指定你想要根据它合并行的列名，以及你想要对合并后的行进行操作的列名  \n",
    "group_column = 'khmc'  \n",
    "value_column = 'fhdw'  \n",
    "# 使用groupby()函数根据group_column列的值来分组，并对value_column列的值进行求和  \n",
    "khxql_df = khxd.groupby(group_column)[value_column].sum().reset_index()  \n",
    "# 使用sort_values()函数对该列进行降序排序  \n",
    "khxql_df = khxql_df.sort_values(by=value_column, ascending=False)  \n",
    "khxql_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f0b30ef",
   "metadata": {},
   "source": [
    "## 可视化客户需求量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "05ec9bc7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:15:25.692152Z",
     "start_time": "2024-06-30T07:15:25.674730Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd  \n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "f5ea6984",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:15:26.065272Z",
     "start_time": "2024-06-30T07:15:26.057202Z"
    }
   },
   "outputs": [],
   "source": [
    "khxql_df=khxql_df.head(10)\n",
    "labels = khxql_df['khmc']  \n",
    "sizes = khxql_df['fhdw']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "e77f99e9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:15:26.639571Z",
     "start_time": "2024-06-30T07:15:26.518310Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置中文字体为SimHei，同时设置负号能够正常显示  \n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  \n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.figure(figsize=(18, 8))  # 设置图像大小  \n",
    "plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=140)  \n",
    "plt.title('客户需求量')  # 设置标题  \n",
    "plt.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.  \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5ff50e4",
   "metadata": {},
   "source": [
    "# 去年哪些销售经理贡献最大"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6db45c92",
   "metadata": {},
   "source": [
    "## 连接客户下单和系统用户表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "79ca0342",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:31:40.789593Z",
     "start_time": "2024-06-30T07:31:40.737345Z"
    }
   },
   "outputs": [],
   "source": [
    "khxd = pd.read_csv('D:/24暑假实训/zuoye/thirteen/data/ERP_KHXD.csv', encoding='gb18030')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "a32010b0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:31:41.129985Z",
     "start_time": "2024-06-30T07:31:41.100406Z"
    }
   },
   "outputs": [],
   "source": [
    "khxd['date'] = pd.to_datetime(khxd['dzsj'])  \n",
    "khxd['year'] = khxd['date'].dt.year  \n",
    "khxd['month'] = khxd['date'].dt.month  \n",
    "# 筛选2023年的数据  \n",
    "khxd_2023 = khxd[khxd['year'] == 2023] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "483e8646",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:31:41.500385Z",
     "start_time": "2024-06-30T07:31:41.490388Z"
    }
   },
   "outputs": [],
   "source": [
    "xtyh = pd.read_csv('D:/24暑假实训/zuoye/thirteen/data/sys_user.csv', encoding='gb18030')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "cf951299",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:31:41.919883Z",
     "start_time": "2024-06-30T07:31:41.896374Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "xsgx = pd.merge(khxd_2023, xtyh, left_on='create_by', right_on='user_name', how='inner')\n",
    "xsgx = xsgx[['id','khxx_id','create_by','user_name','nick_name']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "681a2df4",
   "metadata": {},
   "source": [
    "## 处理发货记录表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "f8eb3c72",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:31:43.163285Z",
     "start_time": "2024-06-30T07:31:43.083410Z"
    }
   },
   "outputs": [],
   "source": [
    "fhjl = pd.read_csv('D:/24暑假实训/zuoye/thirteen/data/ERP_FHJL.csv', encoding='gb18030')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "deb609fd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:31:45.915811Z",
     "start_time": "2024-06-30T07:31:45.895275Z"
    }
   },
   "outputs": [],
   "source": [
    "# 指定想要筛选的列名列表  \n",
    "columns_check = ['jz', 'dzdw', 'dj','hk']  \n",
    "  \n",
    "# 使用布尔索引筛选出这些列中没有任何一列小于或等于0的所有行  \n",
    "fhjl = fhjl[~(fhjl[columns_check] <= 0).any(axis=1)]  \n",
    "#去除含缺失值的行\n",
    "fhjl = fhjl.dropna(subset=['jz', 'dzdw', 'dj','hk'])  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78092439",
   "metadata": {},
   "source": [
    "## 连接以上两个表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "bb2ea375",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:31:47.047482Z",
     "start_time": "2024-06-30T07:31:46.784785Z"
    }
   },
   "outputs": [],
   "source": [
    "xsgx1 = pd.merge(xsgx, fhjl, left_on='khxx_id', right_on='khxx_id', how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "822f075c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:31:47.979564Z",
     "start_time": "2024-06-30T07:31:47.548566Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "xsgx1 = xsgx1[['nick_name','hk']]\n",
    "value_column = 'hk'\n",
    "#对其按照'hk'列进行排序\n",
    "xsgx1 = xsgx1.sort_values(by=value_column, ascending=False) \n",
    "#去除含义重复值的行\n",
    "xsgx1_last = xsgx1.drop_duplicates( )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "8ab251cc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:33:49.643640Z",
     "start_time": "2024-06-30T07:33:49.621002Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hk</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nick_name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>史丹</th>\n",
       "      <td>34995397.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>李庭辉</th>\n",
       "      <td>26276610.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>调度室</th>\n",
       "      <td>23714485.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>潘建峰</th>\n",
       "      <td>22869152.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>李登</th>\n",
       "      <td>21729012.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>甄常</th>\n",
       "      <td>21112090.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>张蕊</th>\n",
       "      <td>19562489.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>钱多多</th>\n",
       "      <td>14159167.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>何义奎</th>\n",
       "      <td>12966517.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>容文志</th>\n",
       "      <td>11646864.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>夏云峰</th>\n",
       "      <td>10749202.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>韦卿</th>\n",
       "      <td>9782600.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>周正望</th>\n",
       "      <td>9348208.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>李雨舟</th>\n",
       "      <td>6095663.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>肖翔</th>\n",
       "      <td>5127851.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>管理员</th>\n",
       "      <td>2389916.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>叶鑫</th>\n",
       "      <td>539819.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>吴家龙</th>\n",
       "      <td>243189.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>黄焱鑫</th>\n",
       "      <td>141529.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>系统管理员1</th>\n",
       "      <td>87842.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    hk\n",
       "nick_name             \n",
       "史丹         34995397.88\n",
       "李庭辉        26276610.75\n",
       "调度室        23714485.46\n",
       "潘建峰        22869152.74\n",
       "李登         21729012.84\n",
       "甄常         21112090.03\n",
       "张蕊         19562489.66\n",
       "钱多多        14159167.65\n",
       "何义奎        12966517.04\n",
       "容文志        11646864.70\n",
       "夏云峰        10749202.44\n",
       "韦卿          9782600.88\n",
       "周正望         9348208.01\n",
       "李雨舟         6095663.34\n",
       "肖翔          5127851.43\n",
       "管理员         2389916.36\n",
       "叶鑫           539819.68\n",
       "吴家龙          243189.20\n",
       "黄焱鑫          141529.13\n",
       "系统管理员1        87842.30"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xsgx1_last = xsgx1_last.groupby('nick_name')['hk'].sum()  #以nick_name分组计算货款的和\n",
    "xsgx1_last = pd.DataFrame(xsgx1_last)\n",
    "xsgx1_last = xsgx1_last.sort_values(by='hk', ascending=False)  #降序排列\n",
    "xsgx1_last"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74499a37",
   "metadata": {},
   "source": [
    "# 预测今年的水泥和矿粉销售如何"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "dcfc838d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:51:21.449527Z",
     "start_time": "2024-06-30T07:51:20.101510Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdedea7c",
   "metadata": {},
   "source": [
    "## 数据预处理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ee9a356",
   "metadata": {},
   "source": [
    "### 筛选所需要的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "9fbba6e9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:11.214688Z",
     "start_time": "2024-06-30T07:53:11.170265Z"
    }
   },
   "outputs": [],
   "source": [
    "khxd = pd.read_csv('D:/24暑假实训/zuoye/thirteen/data/ERP_KHXD.csv', encoding='gb18030')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "94227bd2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:11.790047Z",
     "start_time": "2024-06-30T07:53:11.775923Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "khxd = khxd[khxd['fhdw'] != 0]\n",
    "khxd=khxd[['hplx','fhdw','dzsj']]\n",
    "# 删除这四列中存在缺失值的行  \n",
    "khxd = khxd.dropna(subset=['hplx','fhdw','dzsj'])  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "172babd6",
   "metadata": {},
   "source": [
    "### 改变日期时间格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "36317cb6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:13.130070Z",
     "start_time": "2024-06-30T07:53:13.092422Z"
    }
   },
   "outputs": [],
   "source": [
    "# 将'date_time'列转换为datetime对象 \n",
    "khxd['date'] = pd.to_datetime(khxd['dzsj'])\n",
    "# 提取只有年月日的部分，并创建一个新列'date_only'  \n",
    "khxd['date'] = khxd['date'].dt.date\n",
    "khxd['date'] = pd.to_datetime(khxd['date'])\n",
    "khxd['year'] = khxd['date'].dt.year\n",
    "khxd['month'] = khxd['date'].dt.month"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3f294c2",
   "metadata": {},
   "source": [
    "### hplx数据分离"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "a2ecdaf1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:14.063821Z",
     "start_time": "2024-06-30T07:53:14.055773Z"
    }
   },
   "outputs": [],
   "source": [
    "shuini_data = khxd[khxd['hplx'] == 0]\n",
    "kuangfen_data = khxd[khxd['hplx'] == 1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b61f69a",
   "metadata": {},
   "source": [
    "## 获取2023年数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "9dd01d76",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:15.248402Z",
     "start_time": "2024-06-30T07:53:15.210404Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "khxd['date'] = pd.to_datetime(khxd['dzsj'])  \n",
    "khxd['year'] = khxd['date'].dt.year  \n",
    "khxd['month'] = khxd['date'].dt.month  \n",
    "# 筛选2023年的数据  \n",
    "khxd_2023 = khxd[khxd['year'] == 2023] \n",
    "khxd_2023 = khxd_2023[['hplx','fhdw','date','year','month']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "4264fddc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:15.914198Z",
     "start_time": "2024-06-30T07:53:15.902175Z"
    }
   },
   "outputs": [],
   "source": [
    "grouped = khxd_2023.groupby('hplx')\n",
    "shuini_2023 = grouped.get_group(0)  # 获取a列中值为0的分组，即水泥的数据\n",
    "kuangfen_2023 = grouped.get_group(1)  # 获取a列中值为1的分组，即矿粉的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "00ec5661",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:16.366560Z",
     "start_time": "2024-06-30T07:53:16.347389Z"
    }
   },
   "outputs": [],
   "source": [
    "shuini_2023 = shuini_2023.groupby('month')['fhdw'].sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "38a645a2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:16.835116Z",
     "start_time": "2024-06-30T07:53:16.826066Z"
    }
   },
   "outputs": [],
   "source": [
    "kuangfen_2023 = kuangfen_2023.groupby('month')['fhdw'].sum().reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa0b5b94",
   "metadata": {},
   "source": [
    "### 可视化销售量随时间的变化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "89798a2a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:17.958919Z",
     "start_time": "2024-06-30T07:53:17.832761Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制水泥销售情况\n",
    "plt.figure(figsize=(20, 6))\n",
    "plt.plot(shuini_2023['month'], shuini_2023['fhdw'], \n",
    "         color='blue', label='shuini 2023', marker='o')\n",
    "plt.plot(kuangfen_2023['month'], kuangfen_2023['fhdw'], \n",
    "         color='red', label='kuangfen Sales 2023', marker='s')\n",
    "# 设置图表的标题和轴标签\n",
    "plt.title('Sales Comparison: shuini_20232023 vs kuangfen_2023')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('2023_fhdw')\n",
    "# 显示图例\n",
    "plt.legend()\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e56f926a",
   "metadata": {},
   "source": [
    "## 预测2024年销售量"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18e5b0b7",
   "metadata": {},
   "source": [
    "### 预测水泥2024销量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "470ffbe7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:19.300255Z",
     "start_time": "2024-06-30T07:53:19.282878Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#对于水泥数据进行训练\n",
    "x_shuini = shuini_2023['month'].values.reshape(-1, 1)  \n",
    "y_shuini = shuini_2023['fhdw'].values\n",
    "model_shuini = LinearRegression() \n",
    "model_shuini.fit(x_shuini, y_shuini)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "f2acf648",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:53:20.018975Z",
     "start_time": "2024-06-30T07:53:20.012859Z"
    }
   },
   "outputs": [],
   "source": [
    "#预测水泥销量  \n",
    "future_months_shuini = np.array(range(1, 13)).reshape(-1, 1)  # 2024年的月份范围  \n",
    "predicted_shuini_sales = model_shuini.predict(future_months_shuini)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2c64818",
   "metadata": {},
   "source": [
    "### 预测矿粉2024销量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "f87a4a14",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:51:33.878146Z",
     "start_time": "2024-06-30T07:51:33.871134Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#对于矿粉数据进行训练\n",
    "x_kuangfen = kuangfen_2023['month'].values.reshape(-1, 1)  \n",
    "y_kuangfen = kuangfen_2023['fhdw'].values\n",
    "model_kuangfen = LinearRegression() \n",
    "model_kuangfen.fit(x_kuangfen, y_kuangfen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "49263492",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:51:34.316495Z",
     "start_time": "2024-06-30T07:51:34.310465Z"
    }
   },
   "outputs": [],
   "source": [
    "#预测矿粉销量  \n",
    "future_months_kuangfen = np.array(range(1, 13)).reshape(-1, 1)  # 2024年的月份范围  \n",
    "predicted_kuangfen_sales = model_kuangfen.predict(future_months_kuangfen)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f2fad9c",
   "metadata": {},
   "source": [
    "## 数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "e10465c3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:51:35.797588Z",
     "start_time": "2024-06-30T07:51:35.674416Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制水泥销售情况\n",
    "plt.figure(figsize=(20, 6))\n",
    "plt.plot(shuini_2023['month'], shuini_2023['fhdw'], \n",
    "         color='blue', label='shuini 2023', marker='o')\n",
    "plt.plot(future_months_shuini.flatten(), predicted_shuini_sales, \n",
    "         color='green', linestyle='--', label='shuini 2024 Predicted')\n",
    "# 设置图表的标题和轴标签\n",
    "plt.title('Sales Comparison: Actual 2023 vs Predicted 2024')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Sales Volume')\n",
    "# 显示图例\n",
    "plt.legend()\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "d9bdccd6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-30T07:51:36.689088Z",
     "start_time": "2024-06-30T07:51:36.567308Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制矿粉销售情况（可以在同一图表上绘制或创建新的图表）\n",
    "plt.figure(figsize=(20, 6))\n",
    "plt.plot(kuangfen_2023['month'], kuangfen_2023['fhdw'], \n",
    "         color='red', label='kuangfen Sales 2023', marker='s')\n",
    "plt.plot(future_months_kuangfen.flatten(), predicted_kuangfen_sales, \n",
    "         color='orange', linestyle='--', label='kuangfen Sales 2024 Predicted')\n",
    "# 设置图表的标题和轴标签\n",
    "plt.title('Sales Comparison: Actual 2023 vs Predicted 2024')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Sales Volume')\n",
    "# 显示图例\n",
    "plt.legend()\n",
    "# 显示图表\n",
    "plt.show()"
   ]
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